FaceMeshModule.py

import cv2
import mediapipe as mp
import time

class FaceMeshDetector():

	def __init__(self, staticMode=False, maxFaces=2, refineland=True, minDetectionCon=0.5):
		self.staticMode = staticMode
		self.maxFaces = maxFaces
		self.refineland = refineland
		self.minDetectionCon = minDetectionCon
		self.mpDraw = mp.solutions.drawing_utils
		self.mpFaceMesh = mp.solutions.face_mesh
		self.faceMesh = self.mpFaceMesh.FaceMesh(self.staticMode, self.maxFaces, self.refineland, self.minDetectionCon)
		self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=2)

	def findFaceMesh(self, img, draw=True):
		self.imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
		self.results = self.faceMesh.process(self.imgRGB)
		faces = []
		if self.results.multi_face_landmarks:
			for faceLms in self.results.multi_face_landmarks:
				if draw:
					self.mpDraw.draw_landmarks(img, faceLms, self.mpFaceMesh.FACEMESH_TESSELATION,
												self.drawSpec, self.drawSpec)
				face = []
				for id,lm in enumerate(faceLms.landmark):
					#print(lm)
					ih, iw, ic = img.shape
					x,y = int(lm.x*iw), int(lm.y*ih)
					face.append([x,y])
				faces.append(face)
		return img, faces

def main():
	cap = cv2.VideoCapture(0)
	pTime = 0
	detector = FaceMeshDetector(maxFaces=1)
	while True:
		success, img = cap.read()
		img, faces = detector.findFaceMesh(img)
		if len(faces)!= 0:
			print(faces[0])
		cTime = time.time()
		fps = 1 / (cTime - pTime)
		pTime = cTime
		cv2.putText(img, f'FPS: {int(fps)}', (20, 70), cv2.FONT_HERSHEY_PLAIN,
		3, (0, 255, 0), 3)
		cv2.imshow("Image", img)
		cv2.waitKey(1)

if __name__ == "__main__":
	main()